How Swimming Australia uses machine learning for real-time training pool analytics with AWS Panorama

The article discusses how Swimming Australia uses machine learning and computer vision on AWS to analyze real-time training pool data for swimmers. It describes a solution built using AWS Panorama, Amazon SQS, Amazon Kinesis Video Streams, and AWS App Runner.

Specifically, the article covers:

• Customer challenge: Manually collecting training data and providing feedback delayed insights. Need for real-time analytics and a cloud-based application.
• Solution architecture: AWS Panorama appliances run ML models at the edge to detect swimmers and track metrics. Data streamed to AWS App Runner app via Amazon SQS for real-time insights. Videos stored in Amazon S3 data lake.
• Benefits: Faster coach feedback (seconds vs hours), more accurate data, long-term data trends. Streamlined manual efforts.
• Conclusion: The solution enables Swimming Australia to transform athlete training using computer vision and cloud services.